Search Results

THOR: a TMB heterogeneity-adaptive optimization model predicts immunotherapy response using clonal genomic features in group-structured data.

• Authors : Wang, Yixuan¹ (AUTHOR); Guan, Yanfang^2,3 (AUTHOR); Lai, Xin² (AUTHOR)

• Source: Briefings in Bioinformatics. Jan2025, Vol. 26 Issue 1, p1-15. 15p.

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TIRSF: a web server for screening gene signatures to predict Tumor immunotherapy response.

• Authors : Chen, Li¹ (AUTHOR); Chen, Tianjian¹ (AUTHOR); Zhang, Ya¹ (AUTHOR)

Subjects: *INTERNET servers; *MEDICAL research personnel; *IMMUNE checkpoint proteins

• Source: Nucleic Acids Research. 7/5/2022, Vol. 50 Issue W1, pW761-W767. 7p.

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TISMO: syngeneic mouse tumor database to model tumor immunity and immunotherapy response.

• Authors : Zeng, Zexian^1,2 (AUTHOR) ; Wong, Cheryl J^1,3 (AUTHOR); Yang, Lin¹ (AUTHOR)

Subjects: *IMMUNOTHERAPY; *MICE; *IMMUNITY

• Source: Nucleic Acids Research. 1/7/2022, Vol. 50 Issue D1, pD1391-D1397. 7p.

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Machine learning-based tumor-infiltrating immune cell-associated lncRNAs for predicting prognosis and immunotherapy response in patients with glioblastoma.

• Authors : Zhang, Hao^1,2,3 (AUTHOR); Zhang, Nan^1,2,4 (AUTHOR); Wu, Wantao^1,2,5 (AUTHOR)

• Source: Briefings in Bioinformatics. Nov2022, Vol. 23 Issue 6, p1-14. 14p.

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Expression profile of immune checkpoint genes and their roles in predicting immunotherapy response.

• Authors : Hu, Fei-Fei¹ (AUTHOR); Liu, Chun-Jie² (AUTHOR); Liu, Lan-Lan² (AUTHOR)

• Source: Briefings in Bioinformatics. May2021, Vol. 22 Issue 3, p1-12. 12p.

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Reconnaissance of tumor immune microenvironment spatial heterogeneity in metastatic renal cell carcinoma and correlation with immunotherapy response.

• Authors : Hajiran, A.¹ (AUTHOR) ; Chakiryan, N.¹ (AUTHOR); Aydin, A. M.¹ (AUTHOR)

Subjects: *RENAL cell carcinoma; *TUMOR microenvironment; *FORKHEAD transcription factors

• Source: Clinical & Experimental Immunology. Apr2021, Vol. 204 Issue 1, p96-106. 11p. 2 Color Photographs, 1 Diagram, 1 Chart, 2 Graphs.

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Exosomal PD-L1: an effective liquid biopsy target to predict immunotherapy response.

• Authors : Song, Yanling¹ (AUTHOR); Wu, Lingling¹ (AUTHOR); Yang, Chaoyong^1,2 (AUTHOR)

• Source: National Science Review. Nov2019, Vol. 6 Issue 6, p1103-1104. 2p.

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Identifying cell type-specific transcription factor-mediated activity immune modules reveal implications for immunotherapy and molecular classification of pan-cancer.

• Authors : Li, Feng¹ (AUTHOR); Wang, Jingwen¹ (AUTHOR); Li, Mengyue¹ (AUTHOR)

• Source: Briefings in Bioinformatics. Sep2024, Vol. 25 Issue 5, p1-13. 13p.

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CapHLA: a comprehensive tool to predict peptide presentation and binding to HLA class I and class II.

• Authors : Chang, Yunjian¹ (AUTHOR); Wu, Ligang¹ (AUTHOR)

• Source: Briefings in Bioinformatics. Jan2025, Vol. 26 Issue 1, p1-14. 14p.

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Biological knowledge graph-guided investigation of immune therapy response in cancer with graph neural network.

• Authors : Zhao, Lianhe¹ (AUTHOR) ; Qi, Xiaoning^1,2 (AUTHOR); Chen, Yang³ (AUTHOR)

• Source: Briefings in Bioinformatics. Mar2023, Vol. 24 Issue 2, p1-9. 9p.

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